Joseph Jay Williams

Orcid: 0000-0002-9122-5242

According to our database1, Joseph Jay Williams authored at least 115 papers between 2008 and 2024.

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Bibliography

2024
Examining Intention to Major in Computer Science: Perceived Potential and Challenges.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Student Interaction with Instructor Emails in Introductory and Upper-Year Computing Courses.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
The benefit of reflection prompts for encouraging learning with hints in an online programming course.
Internet High. Educ., June, 2023

Design Implications for One-Way Text Messaging Services that Support Psychological Wellbeing.
ACM Trans. Comput. Hum. Interact., 2023

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.
CoRR, 2023

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception.
CoRR, 2023

Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives.
CoRR, 2023

ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models.
CoRR, 2023

Designing Voice Reflection for Students.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Designing, Deploying, and Analyzing Adaptive Educational Field Experiments.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Investigating Subject Lines Length on Students' Email Open Rates.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Exploring The Potential of Chatbots to Provide Mental Well-being Support for Computer Science Students.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Do Students Read Instructor Emails? A Case Study of Intervention Email Open Rates.
Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

Student Usage of Q&A Forums: Signs of Discomfort?
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Self-Explanation Modality: Effects on Student Performance?
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

VoiceEx: Voice Submission System for Interventions in Education.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms.
Proceedings of the 5th Annual Symposium on HCI Education, 2023

Exam Eustress: Designing Brief Online Interventions for Helping Students Identify Positive Aspects of Stress.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Exploring the Use of Large Language Models for Improving the Awareness of Mindfulness.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Integrating Individual and Social Contexts into Self-Reflection Technologies.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages.
Proc. ACM Hum. Comput. Interact., 2022

"I Kind of Bounce off It": Translating Mental Health Principles into Real Life Through Story-Based Text Messages.
Proc. ACM Hum. Comput. Interact., 2022

Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning.
CoRR, 2022

Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk.
CoRR, 2022

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits.
CoRR, 2022

Experimenting with Experimentation: Rethinking The Role of Experimentation in Educational Design.
CoRR, 2022

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions.
CoRR, 2022

Behavioral Consequences of Reminder Emails on Students' Academic Performance: a Real-world Deployment.
Proceedings of the SIGITE '22: The 23rd Annual Conference on Information Technology Education, Chicago, IL, USA, September 21, 2022

Investigating the Impact of Voice Response Options in Surveys.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research.
Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Engaging Students with Extra Tasks: Motivational Design and Student-Generated Improvements.
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), 2022

How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

"Sounds like a Cheesy Radio Ad": Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor.
Proc. ACM Hum. Comput. Interact., 2021

Bandit algorithms to personalize educational chatbots.
Mach. Learn., 2021

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.
J. Am. Medical Informatics Assoc., 2021

Understanding User Perspectives on Prompts for Brief Reflection on Troubling Emotions.
CoRR, 2021

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.
CoRR, 2021

Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling.
CoRR, 2021

Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
CoRR, 2021

Procrastination and Gaming in an Online Homework System of an Inverted CS1.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Investigating the Impact of Online Homework Reminders Using Randomized A/B Comparisons.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Second Workshop on Educational A/B Testing at Scale.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

The MOOClet Framework: Unifying Experimentation, Dynamic Improvement, and Personalization in Online Courses.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Exploring Design Choices in Data-driven Hints for Python Programming Homework.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Exploring Additional Personalized Support While Attempting Exercise Problems in Online Learning Platforms.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Using Adaptive Experiments to Rapidly Help Students.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Learning and education in HCI: a reflection on the SIG at CHI 2019.
Interactions, 2020

Sequential Explanations with Mental Model-Based Policies.
CoRR, 2020

Using Information Visualization to Promote Students' Reflection on "Gaming the System" in Online Learning.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Workshop Proposal: Educational A/B Testing at Scale.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Characterizing and influencing students' tendency to write self-explanations in online homework.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Improving Short and Long-term Learning in an Online Homework System.
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), 2020

Getting too personal(ized): The importance of feature choice in online adaptive algorithms.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Engaging Students with Instructor Solutions in Online Programming Homework.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

SleepBandits: Guided Flexible Self-Experiments for Sleep.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.
Proceedings of the AMIA 2020, 2020

An Evaluation of Data-Driven Programming Hints in a Classroom Setting.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities.
J. Learn. Anal., December, 2019

The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment.
Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Evaluation of the Impact of Automated Programming Hints on Performance and Learning.
Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing.
Proceedings of the ACM Conference on Global Computing Education, 2019

Learning, Education, and HCI.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Understanding and Correcting Inaccurate Calorie Estimations on Amazon Mechanical Turk.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

NoteStruct: Scaffolding Note-taking while Learning from Online Videos.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Increasing Response Rates to Email Surveys in MOOCs.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Revising Biology Misconceptions Using Retrieval Practice and Explanation Prompts.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Understanding the Effect of In-Video Prompting on Learners and Instructors.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Harvesting Caregiving Knowledge: Design Considerations for Integrating Volunteer Input in Dementia Care.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Bandit Assignment for Educational Experiments: Benefits to Students Versus Statistical Power.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Educational Question Routing in Online Student Communities.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

MOOClets: A Framework for Dynamic Experimentation and Personalization.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
The Future of Adaptive Learning: Does the Crowd Hold the Key?
Int. J. Artif. Intell. Educ., 2016

Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Discovering 'Tough Love' Interventions Despite Dropout.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Revising Learner Misconceptions Without Feedback: Prompting for Reflection on Anomalies.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Connecting Online Work and Online Education at Scale.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs.
J. Learn. Anal., December, 2015

Using and Designing Platforms for In Vivo Education Experiments.
CoRR, 2015

A Methodology for Discovering how to Adaptively Personalize to Users using Experimental Comparisons.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Using and Designing Platforms for In Vivo Educational Experiments.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Supporting Instructors in Collaborating with Researchers using MOOClets.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

A Playful Game Changer: Fostering Student Retention in Online Education with Social Gamification.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Connecting Collaborative & Crowd Work with Online Education.
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014
Effects of Comparison and Explanation on Analogical Transfer.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Online A/B tests & experiments: a practical but scientifically informed introduction.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Learning online via prompts to explain.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Learning innovation at scale.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
Evaluating computational models of explanation using human judgments.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Effects of Explaining Anomalies on the Generation and Evaluation of Hypotheses.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Online Education: A Unique Opportunity for Cognitive Scientists to Integrate Research and Practice.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Effects of Explanation and Comparison on Category Learning.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Measurably Increasing Motivation in MOOCs.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Providing implicit formative feedback to learners by combining self-generated and instructional explanations.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Improving learning in MOOCs with Cognitive Science.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012
Explaining increases belief revision in the face of (many) anomalies.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Explaining Influences Children's Reliance on Evidence and Prior Knowledge in Causal Induction.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Explaining drives the discovery of real and illusory patterns.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Explanation-based Mechanisms for Learning: An Interdisciplinary Approach.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
The Role of Explanation in Discovery and Generalization: Evidence From Category Learning.
Cogn. Sci., 2010

2008
Modeling human function learning with Gaussian processes.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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